pp

Dataset statistics

Number of variables	22
Number of observations	7109
Missing cells	54
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	5.0 MiB
Average record size in memory	731.5 B

Variable types

Categorical	13
Numeric	9

Alerts

`PRT_ID` has a high cardinality: 7109 distinct values	High cardinality
`DATE_SALE` has a high cardinality: 2798 distinct values	High cardinality
`DATE_BUILD` has a high cardinality: 5808 distinct values	High cardinality
`INT_SQFT` is highly correlated with `N_BEDROOM` and 4 other fields	High correlation
`N_BEDROOM` is highly correlated with `INT_SQFT` and 2 other fields	High correlation
`N_BATHROOM` is highly correlated with `N_BEDROOM` and 1 other fields	High correlation
`N_ROOM` is highly correlated with `INT_SQFT` and 5 other fields	High correlation
`QS_ROOMS` is highly correlated with `QS_OVERALL`	High correlation
`QS_BATHROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_BEDROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_OVERALL` is highly correlated with `QS_ROOMS` and 2 other fields	High correlation
`REG_FEE` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`COMMIS` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`SALES_PRICE` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`INT_SQFT` is highly correlated with `N_BEDROOM` and 5 other fields	High correlation
`N_BEDROOM` is highly correlated with `INT_SQFT` and 2 other fields	High correlation
`N_BATHROOM` is highly correlated with `INT_SQFT` and 2 other fields	High correlation
`N_ROOM` is highly correlated with `INT_SQFT` and 5 other fields	High correlation
`QS_ROOMS` is highly correlated with `QS_OVERALL`	High correlation
`QS_BATHROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_BEDROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_OVERALL` is highly correlated with `QS_ROOMS` and 2 other fields	High correlation
`REG_FEE` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`COMMIS` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`SALES_PRICE` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`INT_SQFT` is highly correlated with `N_BEDROOM` and 1 other fields	High correlation
`N_BEDROOM` is highly correlated with `INT_SQFT` and 2 other fields	High correlation
`N_BATHROOM` is highly correlated with `N_BEDROOM` and 1 other fields	High correlation
`N_ROOM` is highly correlated with `INT_SQFT` and 3 other fields	High correlation
`REG_FEE` is highly correlated with `N_ROOM` and 1 other fields	High correlation
`SALES_PRICE` is highly correlated with `REG_FEE`	High correlation
`N_ROOM` is highly correlated with `N_BATHROOM` and 1 other fields	High correlation
`AREA` is highly correlated with `N_BATHROOM`	High correlation
`N_BATHROOM` is highly correlated with `N_ROOM` and 2 other fields	High correlation
`N_BEDROOM` is highly correlated with `N_ROOM` and 1 other fields	High correlation
`AREA` is highly correlated with `INT_SQFT` and 7 other fields	High correlation
`INT_SQFT` is highly correlated with `AREA` and 6 other fields	High correlation
`N_BEDROOM` is highly correlated with `AREA` and 3 other fields	High correlation
`N_BATHROOM` is highly correlated with `AREA` and 3 other fields	High correlation
`N_ROOM` is highly correlated with `AREA` and 6 other fields	High correlation
`BUILDTYPE` is highly correlated with `REG_FEE` and 1 other fields	High correlation
`MZZONE` is highly correlated with `AREA`	High correlation
`QS_ROOMS` is highly correlated with `QS_OVERALL`	High correlation
`QS_BATHROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_BEDROOM` is highly correlated with `QS_OVERALL`	High correlation
`QS_OVERALL` is highly correlated with `QS_ROOMS` and 2 other fields	High correlation
`REG_FEE` is highly correlated with `AREA` and 5 other fields	High correlation
`COMMIS` is highly correlated with `AREA` and 4 other fields	High correlation
`SALES_PRICE` is highly correlated with `AREA` and 5 other fields	High correlation
`PRT_ID` is uniformly distributed	Uniform
`DATE_BUILD` is uniformly distributed	Uniform
`PRT_ID` has unique values	Unique

Reproduction

Analysis started	2022-01-04 15:55:55.416513
Analysis finished	2022-01-04 15:56:17.183970
Duration	21.77 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

PRT_ID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	7109
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	437.5 KiB

P07489	1
P08284	1
P02294	1
P04833	1
P04815	1
Other values (7104)	7104

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	42654
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7109 ?
Unique (%)	100.0%

Sample

1st row	P03210
2nd row	P09411
3rd row	P01812
4th row	P05346
5th row	P06210

Common Values

Value	Count	Frequency (%)
P07489	1	< 0.1%
P08284	1	< 0.1%
P02294	1	< 0.1%
P04833	1	< 0.1%
P04815	1	< 0.1%
P04597	1	< 0.1%
P03854	1	< 0.1%
P08207	1	< 0.1%
P06119	1	< 0.1%
P08474	1	< 0.1%
Other values (7099)	7099	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
p04142	1	< 0.1%
p05106	1	< 0.1%
p06410	1	< 0.1%
p04567	1	< 0.1%
p09414	1	< 0.1%
p09222	1	< 0.1%
p04118	1	< 0.1%
p02834	1	< 0.1%
p05570	1	< 0.1%
p03774	1	< 0.1%
Other values (7099)	7099	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	9965	23.4%
P	7109	16.7%
1	2923	6.9%
6	2866	6.7%
7	2859	6.7%
5	2856	6.7%
3	2824	6.6%
9	2823	6.6%
8	2820	6.6%
2	2813	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	35545	83.3%
Uppercase Letter	7109	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	9965	28.0%
1	2923	8.2%
6	2866	8.1%
7	2859	8.0%
5	2856	8.0%
3	2824	7.9%
9	2823	7.9%
8	2820	7.9%
2	2813	7.9%
4	2796	7.9%

Uppercase Letter

Value	Count	Frequency (%)
P	7109	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	35545	83.3%
Latin	7109	16.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	9965	28.0%
1	2923	8.2%
6	2866	8.1%
7	2859	8.0%
5	2856	8.0%
3	2824	7.9%
9	2823	7.9%
8	2820	7.9%
2	2813	7.9%
4	2796	7.9%

Latin

Value	Count	Frequency (%)
P	7109	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42654	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9965	23.4%
P	7109	16.7%
1	2923	6.9%
6	2866	6.7%
7	2859	6.7%
5	2856	6.7%
3	2824	6.6%
9	2823	6.6%
8	2820	6.6%
2	2813	6.6%

AREA
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	453.8 KiB

Chrompet	1681
Karapakkam	1363
KK Nagar	996
Velachery	979
Anna Nagar	783
Other values (12)	1307

Length

Max length	10
Median length	8
Mean length	8.342382895
Min length	4

Characters and Unicode

Total characters	59306
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Karapakkam
2nd row	Anna Nagar
3rd row	Adyar
4th row	Velachery
5th row	Karapakkam

Common Values

Value	Count	Frequency (%)
Chrompet	1681	23.6%
Karapakkam	1363	19.2%
KK Nagar	996	14.0%
Velachery	979	13.8%
Anna Nagar	783	11.0%
Adyar	773	10.9%
T Nagar	496	7.0%
Chrompt	9	0.1%
Chormpet	6	0.1%
Chrmpet	6	0.1%
Other values (7)	17	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nagar	2280	24.3%
chrompet	1681	17.9%
karapakkam	1363	14.5%
kk	996	10.6%
velachery	979	10.4%
anna	783	8.3%
adyar	773	8.2%
t	496	5.3%
chrompt	9	0.1%
chormpet	6	0.1%
Other values (8)	23	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	12574	21.2%
r	7109	12.0%
e	3655	6.2%
K	3360	5.7%
m	3068	5.2%
p	3068	5.2%
k	2729	4.6%
h	2683	4.5%
g	2286	3.9%
N	2286	3.9%
Other values (12)	16488	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46634	78.6%
Uppercase Letter	10392	17.5%
Space Separator	2280	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12574	27.0%
r	7109	15.2%
e	3655	7.8%
m	3068	6.6%
p	3068	6.6%
k	2729	5.9%
h	2683	5.8%
g	2286	4.9%
y	1755	3.8%
t	1702	3.6%
Other values (5)	6005	12.9%

Uppercase Letter

Value	Count	Frequency (%)
K	3360	32.3%
N	2286	22.0%
C	1702	16.4%
A	1562	15.0%
V	981	9.4%
T	501	4.8%

Space Separator

Value	Count	Frequency (%)
	2280	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	57026	96.2%
Common	2280	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	12574	22.0%
r	7109	12.5%
e	3655	6.4%
K	3360	5.9%
m	3068	5.4%
p	3068	5.4%
k	2729	4.8%
h	2683	4.7%
g	2286	4.0%
N	2286	4.0%
Other values (11)	14208	24.9%

Common

Value	Count	Frequency (%)
	2280	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59306	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	12574	21.2%
r	7109	12.0%
e	3655	6.2%
K	3360	5.7%
m	3068	5.2%
p	3068	5.2%
k	2729	4.6%
h	2683	4.5%
g	2286	3.9%
N	2286	3.9%
Other values (12)	16488	27.8%

INT_SQFT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1699
Distinct (%)	23.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1382.073006

Minimum	500
Maximum	2500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	500
5-th percentile	702
Q1	993
median	1373
Q3	1744
95-th percentile	2084.6
Maximum	2500
Range	2000
Interquartile range (IQR)	751

Descriptive statistics

Standard deviation	457.4109025
Coefficient of variation (CV)	0.3309600147
Kurtosis	-0.8863792596
Mean	1382.073006
Median Absolute Deviation (MAD)	376
Skewness	0.1312376308
Sum	9825157
Variance	209224.7337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1781	18	0.3%
1538	15	0.2%
1505	13	0.2%
1514	13	0.2%
786	12	0.2%
1634	12	0.2%
961	12	0.2%
1655	12	0.2%
1081	12	0.2%
1823	11	0.2%
Other values (1689)	6979	98.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
500	3	< 0.1%
501	2	< 0.1%
502	1	< 0.1%
504	2	< 0.1%
505	1	< 0.1%
506	1	< 0.1%
507	2	< 0.1%
508	4	0.1%
510	2	< 0.1%
511	1	< 0.1%

Value	Count	Frequency (%)
2500	1	< 0.1%
2499	1	< 0.1%
2498	1	< 0.1%
2497	1	< 0.1%
2496	3	< 0.1%
2495	2	< 0.1%
2494	1	< 0.1%
2493	1	< 0.1%
2492	1	< 0.1%
2491	1	< 0.1%

DATE_SALE
Categorical

HIGH CARDINALITY

Distinct	2798
Distinct (%)	39.4%
Missing	0
Missing (%)	0.0%
Memory size	465.3 KiB

06-10-2009	12
26-02-2012	10
17-11-2010	10
06-01-2009	10
15-03-2012	10
Other values (2793)	7057

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	71090
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	988 ?
Unique (%)	13.9%

Sample

1st row	04-05-2011
2nd row	19-12-2006
3rd row	04-02-2012
4th row	13-03-2010
5th row	05-10-2009

Common Values

Value	Count	Frequency (%)
06-10-2009	12	0.2%
26-02-2012	10	0.1%
17-11-2010	10	0.1%
06-01-2009	10	0.1%
15-03-2012	10	0.1%
12-04-2011	10	0.1%
19-07-2011	9	0.1%
14-08-2010	9	0.1%
30-11-2009	9	0.1%
13-03-2010	9	0.1%
Other values (2788)	7011	98.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
06-10-2009	12	0.2%
26-02-2012	10	0.1%
17-11-2010	10	0.1%
06-01-2009	10	0.1%
15-03-2012	10	0.1%
12-04-2011	10	0.1%
13-03-2010	9	0.1%
01-04-2009	9	0.1%
17-06-2011	9	0.1%
28-02-2012	9	0.1%
Other values (2788)	7011	98.6%

Most occurring characters

Value	Count	Frequency (%)
0	20265	28.5%
-	14218	20.0%
2	11858	16.7%
1	11645	16.4%
9	2365	3.3%
8	2087	2.9%
3	2060	2.9%
7	1904	2.7%
4	1715	2.4%
6	1527	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56872	80.0%
Dash Punctuation	14218	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20265	35.6%
2	11858	20.9%
1	11645	20.5%
9	2365	4.2%
8	2087	3.7%
3	2060	3.6%
7	1904	3.3%
4	1715	3.0%
6	1527	2.7%
5	1446	2.5%

Dash Punctuation

Value	Count	Frequency (%)
-	14218	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20265	28.5%
-	14218	20.0%
2	11858	16.7%
1	11645	16.4%
9	2365	3.3%
8	2087	2.9%
3	2060	2.9%
7	1904	2.7%
4	1715	2.4%
6	1527	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20265	28.5%
-	14218	20.0%
2	11858	16.7%
1	11645	16.4%
9	2365	3.3%
8	2087	2.9%
3	2060	2.9%
7	1904	2.7%
4	1715	2.4%
6	1527	2.1%

DIST_MAINROAD
Real number (ℝ_≥0)

Distinct	201
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.60317907

Minimum	0
Maximum	200
Zeros	33
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	50
median	99
Q3	148
95-th percentile	190
Maximum	200
Range	200
Interquartile range (IQR)	98

Descriptive statistics

Standard deviation	57.40310959
Coefficient of variation (CV)	0.5763180465
Kurtosis	-1.165240378
Mean	99.60317907
Median Absolute Deviation (MAD)	49
Skewness	0.01814383556
Sum	708079
Variance	3295.11699
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	56	0.8%
51	53	0.7%
78	52	0.7%
77	49	0.7%
156	48	0.7%
14	48	0.7%
73	48	0.7%
49	47	0.7%
111	47	0.7%
4	46	0.6%
Other values (191)	6615	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	33	0.5%
1	28	0.4%
2	44	0.6%
3	27	0.4%
4	46	0.6%
5	36	0.5%
6	42	0.6%
7	27	0.4%
8	31	0.4%
9	37	0.5%

Value	Count	Frequency (%)
200	38	0.5%
199	30	0.4%
198	30	0.4%
197	38	0.5%
196	36	0.5%
195	34	0.5%
194	35	0.5%
193	29	0.4%
192	36	0.5%
191	40	0.6%

N_BEDROOM
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	416.6 KiB

1.0	3795
2.0	2352
3.0	707
4.0	254

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21324
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	3795	53.4%
2.0	2352	33.1%
3.0	707	9.9%
4.0	254	3.6%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	3795	53.4%
2.0	2352	33.1%
3.0	707	9.9%
4.0	254	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	7108	33.3%
.	7108	33.3%
1	3795	17.8%
2	2352	11.0%
3	707	3.3%
4	254	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14216	66.7%
Other Punctuation	7108	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7108	50.0%
1	3795	26.7%
2	2352	16.5%
3	707	5.0%
4	254	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	7108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21324	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7108	33.3%
.	7108	33.3%
1	3795	17.8%
2	2352	11.0%
3	707	3.3%
4	254	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21324	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7108	33.3%
.	7108	33.3%
1	3795	17.8%
2	2352	11.0%
3	707	3.3%
4	254	1.2%

N_BATHROOM
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	5
Missing (%)	0.1%
Memory size	416.6 KiB

1.0	5589
2.0	1515

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21312
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	5589	78.6%
2.0	1515	21.3%
(Missing)	5	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	5589	78.7%
2.0	1515	21.3%

Most occurring characters

Value	Count	Frequency (%)
0	7104	33.3%
.	7104	33.3%
1	5589	26.2%
2	1515	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14208	66.7%
Other Punctuation	7104	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7104	50.0%
1	5589	39.3%
2	1515	10.7%

Other Punctuation

Value	Count	Frequency (%)
.	7104	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21312	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7104	33.3%
.	7104	33.3%
1	5589	26.2%
2	1515	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21312	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7104	33.3%
.	7104	33.3%
1	5589	26.2%
2	1515	7.1%

N_ROOM
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	402.8 KiB

4	2563
3	2125
5	1246
2	921
6	254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7109
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	5
3rd row	3
4th row	5
5th row	3

Common Values

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

Most occurring characters

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7109	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	7109	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	2563	36.1%
3	2125	29.9%
5	1246	17.5%
2	921	13.0%
6	254	3.6%

SALE_COND
Categorical

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	450.0 KiB

AdjLand	1433
Partial	1429
Normal Sale	1423
AbNormal	1406
Family	1403
Other values (4)	15

Length

Max length	11
Median length	7
Mean length	7.803910536
Min length	6

Characters and Unicode

Total characters	55478
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	AbNormal
2nd row	AbNormal
3rd row	AbNormal
4th row	Family
5th row	AbNormal

Common Values

Value	Count	Frequency (%)
AdjLand	1433	20.2%
Partial	1429	20.1%
Normal Sale	1423	20.0%
AbNormal	1406	19.8%
Family	1403	19.7%
Adj Land	6	0.1%
Ab Normal	5	0.1%
Partiall	3	< 0.1%
PartiaLl	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
adjland	1433	16.8%
partial	1429	16.7%
normal	1428	16.7%
sale	1423	16.7%
abnormal	1406	16.5%
family	1403	16.4%
land	6	0.1%
adj	6	0.1%
ab	5	0.1%
partiall	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
a	9965	18.0%
l	7096	12.8%
r	4267	7.7%
m	4237	7.6%
d	2878	5.2%
A	2850	5.1%
i	2836	5.1%
o	2834	5.1%
N	2834	5.1%
L	1440	2.6%
Other values (10)	14241	25.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42661	76.9%
Uppercase Letter	11383	20.5%
Space Separator	1434	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9965	23.4%
l	7096	16.6%
r	4267	10.0%
m	4237	9.9%
d	2878	6.7%
i	2836	6.6%
o	2834	6.6%
n	1439	3.4%
j	1439	3.4%
t	1433	3.4%
Other values (3)	4237	9.9%

Uppercase Letter

Value	Count	Frequency (%)
A	2850	25.0%
N	2834	24.9%
L	1440	12.7%
P	1433	12.6%
S	1423	12.5%
F	1403	12.3%

Space Separator

Value	Count	Frequency (%)
	1434	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	54044	97.4%
Common	1434	2.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9965	18.4%
l	7096	13.1%
r	4267	7.9%
m	4237	7.8%
d	2878	5.3%
A	2850	5.3%
i	2836	5.2%
o	2834	5.2%
N	2834	5.2%
L	1440	2.7%
Other values (9)	12807	23.7%

Common

Value	Count	Frequency (%)
	1434	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55478	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9965	18.0%
l	7096	12.8%
r	4267	7.7%
m	4237	7.6%
d	2878	5.2%
A	2850	5.1%
i	2836	5.1%
o	2834	5.1%
N	2834	5.1%
L	1440	2.6%
Other values (10)	14241	25.7%

PARK_FACIL
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	413.2 KiB

Yes	3587
No	3520
Noo	2

Length

Max length	3
Median length	3
Mean length	2.504853003
Min length	2

Characters and Unicode

Total characters	17807
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	No
3rd row	Yes
4th row	No
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	3587	50.5%
No	3520	49.5%
Noo	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
yes	3587	50.5%
no	3520	49.5%
noo	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
s	3587	20.1%
e	3587	20.1%
Y	3587	20.1%
o	3524	19.8%
N	3522	19.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10698	60.1%
Uppercase Letter	7109	39.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	3587	33.5%
e	3587	33.5%
o	3524	32.9%

Uppercase Letter

Value	Count	Frequency (%)
Y	3587	50.5%
N	3522	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17807	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	3587	20.1%
e	3587	20.1%
Y	3587	20.1%
o	3524	19.8%
N	3522	19.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17807	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	3587	20.1%
e	3587	20.1%
Y	3587	20.1%
o	3524	19.8%
N	3522	19.8%

DATE_BUILD
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	5808
Distinct (%)	81.7%
Missing	0
Missing (%)	0.0%
Memory size	465.3 KiB

02-07-1987	6
04-04-1999	5
13-05-1982	4
19-02-1979	4
29-01-1982	4
Other values (5803)	7086

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	71090
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4676 ?
Unique (%)	65.8%

Sample

1st row	15-05-1967
2nd row	22-12-1995
3rd row	09-02-1992
4th row	18-03-1988
5th row	13-10-1979

Common Values

Value	Count	Frequency (%)
02-07-1987	6	0.1%
04-04-1999	5	0.1%
13-05-1982	4	0.1%
19-02-1979	4	0.1%
29-01-1982	4	0.1%
03-01-1979	4	0.1%
16-01-2003	4	0.1%
02-10-1990	4	0.1%
02-12-1982	4	0.1%
27-08-2000	4	0.1%
Other values (5798)	7066	99.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
02-07-1987	6	0.1%
04-04-1999	5	0.1%
18-09-1971	4	0.1%
08-04-1989	4	0.1%
23-01-1987	4	0.1%
21-11-1992	4	0.1%
06-12-1985	4	0.1%
17-01-1996	4	0.1%
19-07-1977	4	0.1%
14-03-1985	4	0.1%
Other values (5798)	7066	99.4%

Most occurring characters

Value	Count	Frequency (%)
-	14218	20.0%
1	13134	18.5%
0	11553	16.3%
9	9749	13.7%
2	6084	8.6%
8	3790	5.3%
7	3407	4.8%
6	2574	3.6%
3	2343	3.3%
5	2256	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	56872	80.0%
Dash Punctuation	14218	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	13134	23.1%
0	11553	20.3%
9	9749	17.1%
2	6084	10.7%
8	3790	6.7%
7	3407	6.0%
6	2574	4.5%
3	2343	4.1%
5	2256	4.0%
4	1982	3.5%

Dash Punctuation

Value	Count	Frequency (%)
-	14218	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71090	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	14218	20.0%
1	13134	18.5%
0	11553	16.3%
9	9749	13.7%
2	6084	8.6%
8	3790	5.3%
7	3407	4.8%
6	2574	3.6%
3	2343	3.3%
5	2256	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	14218	20.0%
1	13134	18.5%
0	11553	16.3%
9	9749	13.7%
2	6084	8.6%
8	3790	5.3%
7	3407	4.8%
6	2574	3.6%
3	2343	3.3%
5	2256	3.2%

BUILDTYPE
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	444.2 KiB

House	2444
Commercial	2325
Others	2310
Other	26
Comercial	4

Length

Max length	10
Median length	6
Mean length	6.962441975
Min length	5

Characters and Unicode

Total characters	49496
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Commercial
2nd row	Commercial
3rd row	Commercial
4th row	Others
5th row	Others

Common Values

Value	Count	Frequency (%)
House	2444	34.4%
Commercial	2325	32.7%
Others	2310	32.5%
Other	26	0.4%
Comercial	4	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
house	2444	34.4%
commercial	2325	32.7%
others	2310	32.5%
other	26	0.4%
comercial	4	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	7109	14.4%
o	4773	9.6%
s	4754	9.6%
r	4665	9.4%
m	4654	9.4%
u	2444	4.9%
H	2444	4.9%
h	2336	4.7%
t	2336	4.7%
O	2336	4.7%
Other values (5)	11645	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42387	85.6%
Uppercase Letter	7109	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7109	16.8%
o	4773	11.3%
s	4754	11.2%
r	4665	11.0%
m	4654	11.0%
u	2444	5.8%
h	2336	5.5%
t	2336	5.5%
l	2329	5.5%
a	2329	5.5%
Other values (2)	4658	11.0%

Uppercase Letter

Value	Count	Frequency (%)
H	2444	34.4%
O	2336	32.9%
C	2329	32.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	49496	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7109	14.4%
o	4773	9.6%
s	4754	9.6%
r	4665	9.4%
m	4654	9.4%
u	2444	4.9%
H	2444	4.9%
h	2336	4.7%
t	2336	4.7%
O	2336	4.7%
Other values (5)	11645	23.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49496	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7109	14.4%
o	4773	9.6%
s	4754	9.6%
r	4665	9.4%
m	4654	9.4%
u	2444	4.9%
H	2444	4.9%
h	2336	4.7%
t	2336	4.7%
O	2336	4.7%
Other values (5)	11645	23.5%

UTILITY_AVAIL
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	434.8 KiB

AllPub	1886
NoSeWa	1871
NoSewr	1829
ELO	1522
All Pub	1

Length

Max length	7
Median length	6
Mean length	5.615135743
Min length	3

Characters and Unicode

Total characters	39918
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	AllPub
2nd row	AllPub
3rd row	ELO
4th row	NoSewr
5th row	AllPub

Common Values

Value	Count	Frequency (%)
AllPub	1886	26.5%
NoSeWa	1871	26.3%
NoSewr	1829	25.7%
ELO	1522	21.4%
All Pub	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
allpub	1886	26.5%
nosewa	1871	26.3%
nosewr	1829	25.7%
elo	1522	21.4%
pub	1	< 0.1%
all	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	3774	9.5%
e	3700	9.3%
S	3700	9.3%
N	3700	9.3%
o	3700	9.3%
P	1887	4.7%
u	1887	4.7%
b	1887	4.7%
A	1887	4.7%
W	1871	4.7%
Other values (7)	11925	29.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20477	51.3%
Uppercase Letter	17611	44.1%
Space Separator	1830	4.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	3774	18.4%
e	3700	18.1%
o	3700	18.1%
u	1887	9.2%
b	1887	9.2%
a	1871	9.1%
w	1829	8.9%
r	1829	8.9%

Uppercase Letter

Value	Count	Frequency (%)
S	3700	21.0%
N	3700	21.0%
P	1887	10.7%
A	1887	10.7%
W	1871	10.6%
L	1522	8.6%
E	1522	8.6%
O	1522	8.6%

Space Separator

Value	Count	Frequency (%)
	1830	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38088	95.4%
Common	1830	4.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	3774	9.9%
e	3700	9.7%
S	3700	9.7%
N	3700	9.7%
o	3700	9.7%
P	1887	5.0%
u	1887	5.0%
b	1887	5.0%
A	1887	5.0%
W	1871	4.9%
Other values (6)	10095	26.5%

Common

Value	Count	Frequency (%)
	1830	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	3774	9.5%
e	3700	9.3%
S	3700	9.3%
N	3700	9.3%
o	3700	9.3%
P	1887	4.7%
u	1887	4.7%
b	1887	4.7%
A	1887	4.7%
W	1871	4.7%
Other values (7)	11925	29.9%

STREET
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	440.9 KiB

Paved	2560
Gravel	2520
No Access	2010
Pavd	12
NoAccess	7

Length

Max length	9
Median length	6
Mean length	6.486706991
Min length	4

Characters and Unicode

Total characters	46114
Distinct characters	14
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paved
2nd row	Gravel
3rd row	Gravel
4th row	Paved
5th row	Gravel

Common Values

Value	Count	Frequency (%)
Paved	2560	36.0%
Gravel	2520	35.4%
No Access	2010	28.3%
Pavd	12	0.2%
NoAccess	7	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
paved	2560	28.1%
gravel	2520	27.6%
access	2010	22.0%
no	2010	22.0%
pavd	12	0.1%
noaccess	7	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	7097	15.4%
v	5092	11.0%
a	5092	11.0%
s	4034	8.7%
c	4034	8.7%
d	2572	5.6%
P	2572	5.6%
l	2520	5.5%
r	2520	5.5%
G	2520	5.5%
Other values (4)	8061	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34978	75.9%
Uppercase Letter	9126	19.8%
Space Separator	2010	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7097	20.3%
v	5092	14.6%
a	5092	14.6%
s	4034	11.5%
c	4034	11.5%
d	2572	7.4%
l	2520	7.2%
r	2520	7.2%
o	2017	5.8%

Uppercase Letter

Value	Count	Frequency (%)
P	2572	28.2%
G	2520	27.6%
A	2017	22.1%
N	2017	22.1%

Space Separator

Value	Count	Frequency (%)
	2010	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44104	95.6%
Common	2010	4.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7097	16.1%
v	5092	11.5%
a	5092	11.5%
s	4034	9.1%
c	4034	9.1%
d	2572	5.8%
P	2572	5.8%
l	2520	5.7%
r	2520	5.7%
G	2520	5.7%
Other values (3)	6051	13.7%

Common

Value	Count	Frequency (%)
	2010	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	46114	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	7097	15.4%
v	5092	11.0%
a	5092	11.0%
s	4034	8.7%
c	4034	8.7%
d	2572	5.6%
P	2572	5.6%
l	2520	5.5%
r	2520	5.5%
G	2520	5.5%
Other values (4)	8061	17.5%

MZZONE
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	408.2 KiB

RL	1858
RH	1822
RM	1817
C	550
A	537

Length

Max length	2
Median length	2
Mean length	1.773245182
Min length	1

Characters and Unicode

Total characters	12606
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	RH
3rd row	RL
4th row	I
5th row	C

Common Values

Value	Count	Frequency (%)
RL	1858	26.1%
RH	1822	25.6%
RM	1817	25.6%
C	550	7.7%
A	537	7.6%
I	525	7.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
rl	1858	26.1%
rh	1822	25.6%
rm	1817	25.6%
c	550	7.7%
a	537	7.6%
i	525	7.4%

Most occurring characters

Value	Count	Frequency (%)
R	5497	43.6%
L	1858	14.7%
H	1822	14.5%
M	1817	14.4%
C	550	4.4%
A	537	4.3%
I	525	4.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	12606	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	5497	43.6%
L	1858	14.7%
H	1822	14.5%
M	1817	14.4%
C	550	4.4%
A	537	4.3%
I	525	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12606	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	5497	43.6%
L	1858	14.7%
H	1822	14.5%
M	1817	14.4%
C	550	4.4%
A	537	4.3%
I	525	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12606	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	5497	43.6%
L	1858	14.7%
H	1822	14.5%
M	1817	14.4%
C	550	4.4%
A	537	4.3%
I	525	4.2%

QS_ROOMS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.517470812

Minimum	2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	2
5-th percentile	2.1
Q1	2.7
median	3.5
Q3	4.3
95-th percentile	4.9
Maximum	5
Range	3
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	0.8919724311
Coefficient of variation (CV)	0.2535834635
Kurtosis	-1.197535123
Mean	3.517470812
Median Absolute Deviation (MAD)	0.8
Skewness	-0.01895704371
Sum	25005.7
Variance	0.7956148178
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
2.5	265	3.7%
3.8	259	3.6%
3.6	255	3.6%
4.6	252	3.5%
3.9	245	3.4%
4.9	242	3.4%
3.4	240	3.4%
4.7	239	3.4%
4.8	239	3.4%
4.2	239	3.4%
Other values (21)	4634	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	203	2.9%
2.1	236	3.3%
2.2	213	3.0%
2.3	224	3.2%
2.4	208	2.9%
2.5	265	3.7%
2.6	237	3.3%
2.7	200	2.8%
2.8	226	3.2%
2.9	220	3.1%

Value	Count	Frequency (%)
5	228	3.2%
4.9	242	3.4%
4.8	239	3.4%
4.7	239	3.4%
4.6	252	3.5%
4.5	218	3.1%
4.4	219	3.1%
4.3	225	3.2%
4.2	239	3.4%
4.1	222	3.1%

QS_BATHROOM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.507244338

Minimum	2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	2
5-th percentile	2.1
Q1	2.7
median	3.5
Q3	4.3
95-th percentile	4.9
Maximum	5
Range	3
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	0.8978337054
Coefficient of variation (CV)	0.2559940565
Kurtosis	-1.21625135
Mean	3.507244338
Median Absolute Deviation (MAD)	0.8
Skewness	0.0003104318578
Sum	24933
Variance	0.8061053625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
2.7	256	3.6%
4.8	255	3.6%
3.7	251	3.5%
4.7	247	3.5%
4.9	245	3.4%
3	241	3.4%
4.2	237	3.3%
4.6	234	3.3%
2.2	234	3.3%
3.4	234	3.3%
Other values (21)	4675	65.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	222	3.1%
2.1	224	3.2%
2.2	234	3.3%
2.3	220	3.1%
2.4	230	3.2%
2.5	233	3.3%
2.6	226	3.2%
2.7	256	3.6%
2.8	206	2.9%
2.9	228	3.2%

Value	Count	Frequency (%)
5	219	3.1%
4.9	245	3.4%
4.8	255	3.6%
4.7	247	3.5%
4.6	234	3.3%
4.5	231	3.2%
4.4	219	3.1%
4.3	224	3.2%
4.2	237	3.3%
4.1	210	3.0%

QS_BEDROOM
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.485300324

Minimum	2
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	2
5-th percentile	2.1
Q1	2.7
median	3.5
Q3	4.3
95-th percentile	4.9
Maximum	5
Range	3
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	0.8872664105
Coefficient of variation (CV)	0.2545738755
Kurtosis	-1.190165265
Mean	3.485300324
Median Absolute Deviation (MAD)	0.8
Skewness	0.01728160906
Sum	24777
Variance	0.7872416831
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
2.6	273	3.8%
3.2	253	3.6%
4	248	3.5%
3.8	244	3.4%
2.4	244	3.4%
3.1	243	3.4%
2.1	242	3.4%
3	241	3.4%
3.4	239	3.4%
2.2	237	3.3%
Other values (21)	4645	65.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	221	3.1%
2.1	242	3.4%
2.2	237	3.3%
2.3	200	2.8%
2.4	244	3.4%
2.5	226	3.2%
2.6	273	3.8%
2.7	222	3.1%
2.8	210	3.0%
2.9	219	3.1%

Value	Count	Frequency (%)
5	217	3.1%
4.9	203	2.9%
4.8	211	3.0%
4.7	228	3.2%
4.6	233	3.3%
4.5	227	3.2%
4.4	237	3.3%
4.3	237	3.3%
4.2	212	3.0%
4.1	223	3.1%

QS_OVERALL
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	479
Distinct (%)	6.8%
Missing	48
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	3.503253788

Minimum	2
Maximum	4.97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	2
5-th percentile	2.63
Q1	3.13
median	3.5
Q3	3.89
95-th percentile	4.37
Maximum	4.97
Range	2.97
Interquartile range (IQR)	0.76

Descriptive statistics

Standard deviation	0.5272229035
Coefficient of variation (CV)	0.1504952068
Kurtosis	-0.4896687645
Mean	3.503253788
Median Absolute Deviation (MAD)	0.38
Skewness	-0.007263226359
Sum	24736.475
Variance	0.27796399
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.54	59	0.8%
3.26	57	0.8%
3.32	56	0.8%
3.56	55	0.8%
3.36	54	0.8%
3.34	53	0.7%
3.2	51	0.7%
3.47	51	0.7%
3.96	51	0.7%
3.49	50	0.7%
Other values (469)	6524	91.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
2.06	2	< 0.1%
2.09	1	< 0.1%
2.11	1	< 0.1%
2.18	3	< 0.1%
2.195	1	< 0.1%
2.2	1	< 0.1%
2.21	4	0.1%
2.22	5	0.1%
2.23	1	< 0.1%

Value	Count	Frequency (%)
4.97	1	< 0.1%
4.95	1	< 0.1%
4.94	1	< 0.1%
4.93	1	< 0.1%
4.9	1	< 0.1%
4.87	1	< 0.1%
4.865	1	< 0.1%
4.85	1	< 0.1%
4.83	2	< 0.1%
4.82	1	< 0.1%

REG_FEE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7038
Distinct (%)	99.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	376938.3307

Minimum	71177
Maximum	983922
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	71177
5-th percentile	197984.6
Q1	272406
median	349486
Q3	451562
95-th percentile	669167.4
Maximum	983922
Range	912745
Interquartile range (IQR)	179156

Descriptive statistics

Standard deviation	143070.662
Coefficient of variation (CV)	0.3795598652
Kurtosis	1.126499412
Mean	376938.3307
Median Absolute Deviation (MAD)	85998
Skewness	1.037754561
Sum	2679654593
Variance	2.046921433 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
235229	3	< 0.1%
257917	2	< 0.1%
419552	2	< 0.1%
318691	2	< 0.1%
291085	2	< 0.1%
348034	2	< 0.1%
424361	2	< 0.1%
276423	2	< 0.1%
289451	2	< 0.1%
515696	2	< 0.1%
Other values (7028)	7088	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
71177	1	< 0.1%
95798	1	< 0.1%
103928	1	< 0.1%
106466	1	< 0.1%
111366	1	< 0.1%
111690	1	< 0.1%
112960	1	< 0.1%
113759	1	< 0.1%
114011	1	< 0.1%
114210	1	< 0.1%

Value	Count	Frequency (%)
983922	1	< 0.1%
981117	1	< 0.1%
963029	1	< 0.1%
952411	1	< 0.1%
947124	1	< 0.1%
942859	1	< 0.1%
941567	1	< 0.1%
940813	1	< 0.1%
936314	1	< 0.1%
931224	1	< 0.1%

COMMIS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7011
Distinct (%)	98.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	141005.7265

Minimum	5055
Maximum	495405
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	5055
5-th percentile	35990.6
Q1	84219
median	127628
Q3	184506
95-th percentile	292538
Maximum	495405
Range	490350
Interquartile range (IQR)	100287

Descriptive statistics

Standard deviation	78768.09372
Coefficient of variation (CV)	0.558616275
Kurtosis	1.073363345
Mean	141005.7265
Median Absolute Deviation (MAD)	49095
Skewness	0.9516562165
Sum	1002409710
Variance	6204412588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
117825	3	< 0.1%
127189	2	< 0.1%
103224	2	< 0.1%
177975	2	< 0.1%
223620	2	< 0.1%
120598	2	< 0.1%
88403	2	< 0.1%
75962	2	< 0.1%
69258	2	< 0.1%
149257	2	< 0.1%
Other values (7001)	7088	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5055	1	< 0.1%
5126	1	< 0.1%
5378	1	< 0.1%
5620	1	< 0.1%
5943	1	< 0.1%
6038	1	< 0.1%
6149	1	< 0.1%
6190	1	< 0.1%
6236	1	< 0.1%
6349	1	< 0.1%

Value	Count	Frequency (%)
495405	1	< 0.1%
491961	1	< 0.1%
485924	1	< 0.1%
481001	1	< 0.1%
479297	1	< 0.1%
475795	1	< 0.1%
471247	1	< 0.1%
470784	1	< 0.1%
469920	1	< 0.1%
466156	1	< 0.1%

SALES_PRICE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	7057
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10894909.64

Minimum	2156875
Maximum	23667340
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	55.7 KiB

Quantile statistics

Minimum	2156875
5-th percentile	5630100
Q1	8272100
median	10335050
Q3	12993900
95-th percentile	18790428
Maximum	23667340
Range	21510465
Interquartile range (IQR)	4721800

Descriptive statistics

Standard deviation	3768603.457
Coefficient of variation (CV)	0.345904976
Kurtosis	0.5881293416
Mean	10894909.64
Median Absolute Deviation (MAD)	2317605
Skewness	0.7733433359
Sum	7.745191262 × 10¹⁰
Variance	1.420237202 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4517000	2	< 0.1%
12370100	2	< 0.1%
8416200	2	< 0.1%
6988500	2	< 0.1%
6519000	2	< 0.1%
6709750	2	< 0.1%
8191250	2	< 0.1%
7629750	2	< 0.1%
6677000	2	< 0.1%
13098030	2	< 0.1%
Other values (7047)	7089	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2156875	1	< 0.1%
2476375	1	< 0.1%
2640250	1	< 0.1%
2797250	1	< 0.1%
2939750	1	< 0.1%
3000375	1	< 0.1%
3001250	1	< 0.1%
3013500	1	< 0.1%
3029750	1	< 0.1%
3081375	1	< 0.1%

Value	Count	Frequency (%)
23667340	1	< 0.1%
23407860	1	< 0.1%
23314580	1	< 0.1%
23307000	1	< 0.1%
23247590	1	< 0.1%
23013500	1	< 0.1%
22918500	1	< 0.1%
22916500	1	< 0.1%
22852890	1	< 0.1%
22829130	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	PRT_ID	AREA	INT_SQFT	DATE_SALE	DIST_MAINROAD	N_BEDROOM	N_BATHROOM	N_ROOM	SALE_COND	PARK_FACIL	DATE_BUILD	BUILDTYPE	UTILITY_AVAIL	STREET	MZZONE	QS_ROOMS	QS_BATHROOM	QS_BEDROOM	QS_OVERALL	REG_FEE	COMMIS	SALES_PRICE
0	P03210	Karapakkam	1004	04-05-2011	131	1.0	1.0	3	AbNormal	Yes	15-05-1967	Commercial	AllPub	Paved	A	4.0	3.9	4.9	4.330	380000	144400	7600000
1	P09411	Anna Nagar	1986	19-12-2006	26	2.0	1.0	5	AbNormal	No	22-12-1995	Commercial	AllPub	Gravel	RH	4.9	4.2	2.5	3.765	760122	304049	21717770
2	P01812	Adyar	909	04-02-2012	70	1.0	1.0	3	AbNormal	Yes	09-02-1992	Commercial	ELO	Gravel	RL	4.1	3.8	2.2	3.090	421094	92114	13159200
3	P05346	Velachery	1855	13-03-2010	14	3.0	2.0	5	Family	No	18-03-1988	Others	NoSewr	Paved	I	4.7	3.9	3.6	4.010	356321	77042	9630290
4	P06210	Karapakkam	1226	05-10-2009	84	1.0	1.0	3	AbNormal	Yes	13-10-1979	Others	AllPub	Gravel	C	3.0	2.5	4.1	3.290	237000	74063	7406250
5	P00219	Chrompet	1220	11-09-2014	36	2.0	1.0	4	Partial	No	12-09-2009	Commercial	NoSeWa	No Access	RH	4.5	2.6	3.1	3.320	409027	198316	12394750
6	P09105	Chrompet	1167	05-04-2007	137	1.0	1.0	3	Partial	No	12-04-1979	Other	AllPub	No Access	RL	3.6	2.1	2.5	2.670	263152	33955	8488790
7	P09679	Velachery	1847	13-03-2006	176	3.0	2.0	5	Family	No	15-03-1996	Commercial	AllPub	Gravel	RM	2.4	4.5	2.1	3.260	604809	235204	16800250
8	P03377	Chrompet	771	06-04-2011	175	1.0	1.0	2	AdjLand	No	14-04-1977	Others	NoSewr	Paved	RM	2.9	3.7	4.0	3.550	257578	33236	8308970
9	P09623	Velachery	1635	22-06-2006	74	2.0	1.0	4	AbNormal	No	26-06-1991	Others	ELO	No Access	I	3.1	3.1	3.3	3.160	323346	121255	8083650

Last rows

	PRT_ID	AREA	INT_SQFT	DATE_SALE	DIST_MAINROAD	N_BEDROOM	N_BATHROOM	N_ROOM	SALE_COND	PARK_FACIL	DATE_BUILD	BUILDTYPE	UTILITY_AVAIL	STREET	MZZONE	QS_ROOMS	QS_BATHROOM	QS_BEDROOM	QS_OVERALL	REG_FEE	COMMIS	SALES_PRICE
7099	P03828	Adyar	895	05-01-2011	197	1.0	1.0	3	AdjLand	Yes	15-01-1971	House	NoSewr	No Access	I	3.6	4.7	4.2	4.12	250641	7372	7371800
7100	P05438	T Nagar	1733	24-02-2010	191	1.0	1.0	4	AbNormal	Yes	02-03-1985	Commercial	NoSeWa	No Access	RL	3.4	3.7	2.1	2.89	702058	312026	19501600
7101	P05042	Karapakkam	666	11-05-2010	51	1.0	1.0	2	AdjLand	Yes	20-05-1974	Others	ELO	Gravel	I	3.2	4.4	2.5	3.28	273317	74541	6211750
7102	P05560	Karapakkam	701	03-02-2010	100	1.0	1.0	2	AbNormal	No	08-02-1990	House	NoSeWa	Gravel	RH	4.2	3.0	2.0	2.96	282175	141088	5643500
7103	P05133	Karapakkam	1462	23-04-2010	68	2.0	2.0	4	Family	No	29-04-1986	Others	NoSeWa	Gravel	RM	2.7	3.3	3.6	3.24	356716	178358	9387250
7104	P03834	Karapakkam	598	03-01-2011	51	1.0	1.0	2	AdjLand	No	15-01-1962	Others	ELO	No Access	RM	3.0	2.2	2.4	2.52	208767	107060	5353000
7105	P10000	Velachery	1897	08-04-2004	52	3.0	2.0	5	Family	Yes	11-04-1995	Others	NoSeWa	No Access	RH	3.6	4.5	3.3	3.92	346191	205551	10818480
7106	P09594	Velachery	1614	25-08-2006	152	2.0	1.0	4	Normal Sale	No	01-09-1978	House	NoSeWa	Gravel	I	4.3	4.2	2.9	3.84	317354	167028	8351410
7107	P06508	Karapakkam	787	03-08-2009	40	1.0	1.0	2	Partial	Yes	11-08-1977	Commercial	ELO	Paved	RL	4.6	3.8	4.1	4.16	425350	119098	8507000
7108	P09794	Velachery	1896	13-07-2005	156	3.0	2.0	5	Partial	Yes	24-07-1961	Others	ELO	Paved	I	3.1	3.5	4.3	3.64	349177	79812	9976480

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts